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Autori principali: Thota, Vishnudatta, Tripathy, Twinkle, Pal, Debasattam
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2408.07559
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author Thota, Vishnudatta
Tripathy, Twinkle
Pal, Debasattam
author_facet Thota, Vishnudatta
Tripathy, Twinkle
Pal, Debasattam
contents In this work, we consider a group of n agents whose interactions can be represented using unsigned or signed structurally balanced graphs or a special case of structurally unbalanced graphs. A Laplacian-based model is proposed to govern the evolution of opinions. The objective of the paper is to analyze the proposed opinion model on the opinion evolution of the agents. Further, we also determine the conditions required to apply the proposed Laplacian-based opinion model. Finally, some numerical results are shown to validate these results.
format Preprint
id arxiv_https___arxiv_org_abs_2408_07559
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Designing Laplacian flows for opinion clustering in structurally balanced and unbalanced networks
Thota, Vishnudatta
Tripathy, Twinkle
Pal, Debasattam
Systems and Control
In this work, we consider a group of n agents whose interactions can be represented using unsigned or signed structurally balanced graphs or a special case of structurally unbalanced graphs. A Laplacian-based model is proposed to govern the evolution of opinions. The objective of the paper is to analyze the proposed opinion model on the opinion evolution of the agents. Further, we also determine the conditions required to apply the proposed Laplacian-based opinion model. Finally, some numerical results are shown to validate these results.
title Designing Laplacian flows for opinion clustering in structurally balanced and unbalanced networks
topic Systems and Control
url https://arxiv.org/abs/2408.07559